How should we reason about user behavior in these protocols? Research Areas: Programming languages, type systems, compilers, domain-specific languages, software-defined networking and security. The faculty member will then discuss the independent study with the rest of the department and must receive the permission of the department to advise the independent study. Implementation and algorithm engineering for control, reinforcement learning and robotics, Implementation and algorithm engineering for time series prediction. ICSI is a leading independent, nonprofit center for research in computer science. This can be done by extracting the subtle, humanly imperceptible head motion caused by the influx of blood at each heart beat. Given a collection of small mobile robots, apply control policies learned in simulation to the real robots. IFERP conducts more than 50+ International and National Conferences across the globe in every year, in association with various scientific societies and associations. In this context, the student works one-on-one with the professor or with the professor's research group on some problem of mutual interest. Pandemic Operations Information  -- read more >. Quantum and Post-quantum Cryptography: Quantum computers can break much of the cryptography used today. (Note: If you sign up with less than 24 hours notice, then the professor might not notice it in time to meet with you!). Software visualization tools for education, Connected consumer devices, applications and protocols, Research Areas: application-specific languages, document preparation, user interfaces, software tools, programming methodology. During the first two weeks of the semester (or, preferably during the previous semester), the student wishing to pursue an independent study should approach a faculty member and express interest in doing an independent study. The projects provide students with the opportunity to engage with advanced problem solving and explore computing outside of the standard coursework. My advisees would typically have taken a course in algorithms (COS423 or COS 521 or equivalent) and a course in machine learning. Research Areas: Operating Systems, Distributed Systems, Embedded Systems, Internet of Things, Distributed hardware testing infrastructure, Low-power wireless network protocol implementation, Research Areas: Computer Science Education, Learning Sciences. Whole and cross-genome methods for predicting protein function and protein-protein interactions. Research areas: privacy, fairness in machine learning, cryptocurrencies & blockchains,. iii. The Tor project (https://www.torproject.org/) is a potential application of interest. bwk (@cs.princeton.edu) And, if you don’t already have a research project in mind, reach out to a professor whose area of research appeals to you. Anything having to do with natural language--come and see me with/for ideas suitable to your background and interests. to many of these tools to make them even more frictionless. Prerequisite: completion of at least two sciences in different disciplines. Analyze performance bottlenecks using existing tools, and compare programming models/languages. Otherwise, send the professor e-mail. Develop, implement, and evaluate visualization tools for heterogeneous biological data. Online options for computer science doctorates continue to grow. Implement one or more data structures or combinatorial algorithms to provide insight into their empirical behavior. An example from Computer Science could include using TigerEnergy, a platform which provides real-time data on campus energy generation and consumption, to study one of the many energy systems or buildings on campus. Privacy Technologies: Privacy on the Internet is eroding rapidly, with businesses and governments mining sensitive user information. How can we learn (in aggregate) about individuals’ waste, energy, transportation, and other behaviors without impinging on privacy? (Formal methods combined with natural language processing, learning). Prominent examples include quantum key distribution — securely exchanging keys in the presence of an all-powerful eavesdropper — and quantum money, where the unforgeability of banknotes is guaranteed by the quantum no-cloning theorem. Analyze large quantities of secondary data collected (for example, do students that do the programming assignments in pairs do better in the course or not? (609) 258-1746 iv. "Post-quantum cryptography" aims to develop new quantum-secure cryptosystems that provably remain secure even against quantum computers. DESCRIPTION of ISR: This elective science course is intended for seniors interested in continuing their study through an independent project in science, engineering, mathematics, or computer science. Theoretical questions related to incentives in applications like Bitcoin, the Internet, health care, etc. Research areas: Distributed systems, high-throughput computing, computer science/engineering education. Game theory, network effects, and mechanism design. Independent Research: I have various research problems related to Pseudorandomness, Coding theory, Complexity and Discrete mathematics - all of which require strong mathematical background. The Allen School is committed to expanding our global leadership and impact in computer science and computer engineering research. Machine learning captures patterns from training data, and that includes societal prejudices such as racial and gender stereotypes. Terms of Use Independent Study Virginia Tech Computer Science Department - Blacksburg, VA. How can we leverage social connections between users to design the next generation of communication systems? Any topic in theoretical computer science. Projects could combine computer networking with other areas like programming languages, network optimization, algorithms, and distributed systems. Obfuscation has numerous direct uses, such as protecting intellectual property in software, and can also be used as a building block for surprisingly powerful cryptographic applications. Any interesting project related to programming languages or logic. Students undertake research under the supervision of a CIS faculty member. Fast communication mechanisms for heterogeneous clusters. Summer research awards through NSERC and UTEA The Natural Sciences and Engineering Research Council of Canada (NSERC) sponsors Undergraduate Summer Research Awards (USRAs), which provide the opportunity to do paid research with a professor. Note: No individual single-term advising is available outside of the seminar for Spring 2020. Computing, Operating Systems, Sustainable Computing. In particular, can code critiquing tools help students learn about software quality? Sharad Malik, Engineering Quad, Room B224 The Office of Sustainability has created a list of campus as lab research questions, filterable by discipline and topic, on its website. Thesis and Research Topics in Computer Science. Necessary and sufficient conditions for tractability of Weighted problems. Professor Sedgewick is willing to advise any student who comes up with an idea for independent work from his books, papers, courses, or in his current areas of active research. | Using Computer Science as a Lens for Better Understanding, Phyo Thuta Aung Safeguards Phone Security, Non-discrimination, equal employment, and accessibility notices. Tools automating programming language interoperability - Java/C++, React Native/Java, etc. Any interesting project related to AI, machine learning, and data analysis. Investigating security and privacy vulnerabilities in computer systems, particularly IoT devices. jps (@cs.princeton.edu) Research Areas: algorithms, algorithmic game theory, mechanism design, game theoretical problems in {Bitcoin, networking, healthcare}. Independent Study for undergraduate students in computer science and computer engineering is available as CMSC 299, CMSC 499 and CMPE 499. ckenny (@cs.princeton.edu), Brian Kernighan Here are some example projects: Design/improve an OMR (Optical Mark Recognition) project that is currently being deployed for the computer assisted grading of exams. Let's find ways to realize this parallelism. Computer architectures specialized for modern workloads (e.g., graph analytics, machine learning algorithms, mobile applications. Students who complete undergraduate research in the School of Computer Science do so as an independent study or as an honors undergraduate research thesis (which typically grows out of a prior independent study experience). I am also coordinating the development of new grading and assessment infrastructure at Princeton, that will eventually be open-source and deployed at other universities. There are a few topics I can imagine: statistical evaluation of mistakes during a course, simplified tools for teaching purposes…, Any other interesting topic from functional programming or applications for formal methods. ii. Undergraduate independent research in Computer Science is done as an Independent Study or as a Senior Thesis (which typically grows out of a prior Independent Study experience). We offer a supportive environment in which our faculty and students are empowered to pursue the next great advances — whether at the core of the field, or in emerging areas that address humankind’s greatest challenges through the transformative power of computing. Computer science is science that changes, perhaps, the faster of all. Research Areas: Distributed systems; storage systems; content-based search and data analysis of large datasets. All the open access journals are publishing more than 1000+ articles per year. Some of the most coveted Computer Science skills in the modern industry include coding, computation, data processing, network information security, web architecture, algorithm design, storage systems & management, and mobile development. Develop an interface to make grading of assignment done online. Topics in computational and communication complexity. You would have the opportunity to contribute to something that will be used at Princeton's CS department (of which the intro course has the highest enrollment on campus) and beyond for years to come. You may also want to examine the archival list of undergraduate thesis topics and advisors from prior years. Research areas: Information retrieval, novelty detection, question answering, AI, machine learning and data analysis. Expect to work with corporate security and technology decision-makers. Implemented a Chrome extension in Java Script (jQuery), CSS, and HTML that extracts a textbook ISBN from an Amazon webpage and searches it on the Virginia Tech Library database Duke undergraduates have numerous opportunities to gain hands-on project and research experience in Computer Science. Computer Science majors are required to take three additional 1-unit CMSC electives at the 300 level. When they are, they are listed here. Statistical models for specific questions: Causal inference and instrumental variable analysis, Model checking with posterior predictive checks, Inference of undirected network from observational and time-series data, Research Areas: theoretical and computational linguistics, word sense disambiguation, lexical resource construction, English and multilingual WordNet(s), ontology. Special Registration Request Form CIS 4397 - Independent Research in Computer Science Students undertake research under the supervision of a CIS faculty member. Students will participate in the process leading to possible selection for participation in the Loudoun County Regional Science … My favorite projects to advise are those that examine misconceptions learners have with highly technical material, but I'm open to working with you on any project that treats people as individuals and aims to understand more about their frame of reference or way of thinking. Privacy Policy My research group has built a research tool called, Research areas: programming languages, program analysis, program verification, automated reasoning, Develop a practical algorithm for an intractable problem (e.g., by developing practical search heuristics, or by reducing to. Strictly prohibited are independent study as a substitute for a regular course offering. Other topics in computer architecture or mobile / IoT systems also possible. how many hours in COS Lab are helpful on average, and when do we hit a point of diminishing returns). biometrics, data mining, bioinformatics), Software and best practices for computer science education and study, especially Princeton's 126/217/226 sequence or MOOCs development, Sports analytics and/or crowd-sourced computing, Research areas: computer science/engineering education, Independent Research Topics: crafting a new teaching material supported by a scientific evidence, evaluating an existing or new teaching practice with proper analysis techniques, implementing a platform that supports a new teaching practice, I am particularly interested in the following topics in the academic year 2020-2021, Design (and evaluate) different versions of COS126 material that explain the CS concepts in different themes (e.g. These projects focus on automation, using various techniques - such as OCR or OMR -, smart heuristics, and creative UI design, to streamline most tasks associated with a university. Students must apply by 11/15 for Spring and 4/15 for Fall; minimum requirements include a 3.0 GPA overall and a 3.3 GPA in the major as well as readiness for CIS 4398. Research Interests - Networking and telecom; learning, perception, and intelligence, artificial and otherwise; human-computer interaction; as well as the general topic of R&D innovation methodologies. Research Areas: computational complexity, pseudo-randomness, coding theory and discrete mathematics. Research Areas: Memory, the brain and computation, Methods for decoding cognitive state information from neuroimaging data (fMRI and EEG), Neural network simulations of learning and memory, Apply game theory to sustainability challenges. Overview. Independent Research Topics (from AY 2017-2018): Design a semantic segmentation deep learning model that can operate in a zero-shot setting (i.e., recognize and segment objects not seen during training), Develop a deep learning classifier that is impervious to protected attributes (such as gender or race) that may be erroneously correlated with target classes, Build a computer vision system for the novel task of inferring what object (or part of an object) a human is referring to when pointing to a single pixel in the image. Containment-based approaches to security:  We have designed and tested a simple hardware+software containment mechanism that stops incorrect communication resulting from faults, bugs, or exploits from leaving the system. Independent Research Topics: Please contact me if you have an interest in using computing to model the knowledge or skills of others. As computer science is one of the most vast fields opted by research scholars so finding a new thesis topic in computer science becomes more difficult. A wide range of research projects guided by Duke's world-class faculty engage undergraduates, who often become co-authors on papers in major academic conferences. Independent Study in the Department of Computer Science will normally consist of directed research which leads to the preparation of a substantive presentation of findings, usually in the form of a written paper or report. Research Areas: Formal methods, programming languages, compilers, computer security. Any interesting project in computer networking. This course allows you to pursue topics of special interest beyond those of a regular course. Mechanization of mathematics: Formalize a classic paper-based proof from some area of mathematics in an interactive proof assistant. Research in the Computer Science Department encompasses the foundations, and explores the frontiers of computing science. Extend existing universal random generation framework (such as. Trustworthy social systems: Online social networks (OSNs) such as Facebook, Google+, and Twitter have revolutionized the way our society communicates. Text (or data) clustering and processing; linguistic analysis (especially with French, German, Spanish, etc.). Other topics in parallel computer architecture or operating systems. Data analysis and prediction of in-patient medical data. Research Areas: Formal methods, programming languages, functional programming. Design of quantum algorithms solving/approximating continuous problems (such as Eigenvalue problems for Partial Differential Equations). Computation involving dynamical systems, fractals, and cellular automata. i. Natural algorithms (flocking, swarming, social networks, etc). Design and implement computer visualizations of algorithms or data structures. Then (at the appointed time) contact them on princeton.zoom.us. Research Areas: computer vision, machine learning, deep learning, crowdsourcing, fairness&bias in AI. However, every CS independent work project must have a strong computer science element (even if it has other scientific or artistic elements as well.) Research Areas: computational complexity, algorithms, applied probability, computability over the real numbers, game theory and mechanism design, information theory, applications of machine learning in healthcare and medicine. Computer Science Project Ideas. Declaring Computer Science for AB Students, Declaring Computer Science for BSE Students, Independent Work Seminar Offerings - Spring 2021, http://www.cs.princeton.edu/research/areas/, http://www.cs.princeton.edu/research/projects/, Branko Glisic, Engineering Quad, Room E330, Mihir Kshirsagar, Center for Information Technology Policy, 315 Sherrerd Hall, Sharad Malik, Engineering Quad, Room B224, Prateek Mittal, Engineering Quadrangle, Room B236, Ken Norman, PNI 137 Neuroscience Institute, Caroline Savage, Office of Sustainability Phone: (609) 258-7513, cs35@princeton.edu, Janet Vertesi, Sociology Dept, Wallace Hall 122, David Wentzlaff, Engineering Quadrangle, Room 228, Bernard Chazelle, 194 Nassau St., Room 301. Distributed transaction algorithms and implementations. EECS 499, Directed Study, can … Computer Science projects are not available every year. Prateek Mittal, Engineering Quadrangle, Room B236 Enterprise and data-center networking solutions built on Software Defined Networking (SDN). Research Areas:  Software engineering; software engineering education. Research areas: Sociology of technology; Human-computer interaction; Ubiquitous computing. This course can be used to fulfill the capstone requirement. Fall 2017 IW Seminar - Computational Genomics Caroline Savage, Office of Sustainability, Phone: (609) 258-7513, Engineering Tours for Prospective Undergraduates. COS Pre-majors, COS Non-majors, Transfers in to COS, Study Abroad, Jaswinder Singh Students meet weekly with the professor to work on their independent … Some topics and questions I'm interested in: Research interests: Computational biology and bioinformatics; Cancer genomics; Algorithms and machine learning approaches for analysis of large-scale datasets. 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